Fabrice Rousselle

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it; #20,128 of 21,575 by trust here, #11,721 by citations
• Generative Models — 17 citations into it
• Artificial Intelligence — 16 citations into it
• Optimization & Training — 9 citations into it

Whom Fabrice Rousselle trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Laurent Dinh
5. Aäron van den Oord
6. Xavier Glorot
7. Yann LeCun
8. Alex Krizhevsky
9. Michael I. Jordan
10. Radford M. Neal

Who trusts Fabrice Rousselle overall

1. Conor Durkan

Papers from Fabrice Rousselle's perspective

Ordered by how strongly the researchers Fabrice Rousselle trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Neural Importance Sampling (2018) — 435 citations
• Kernel-predicting convolutional networks for denoising Monte Carlo renderings (2017) — 351 citations